DocumentCode
2278352
Title
A PSO-inspired multi-robot search algorithm independent of global information
Author
Zhu, Qian ; Liang, Alei ; Guan, Haibing
Author_Institution
Key Lab. of Scalable, Comput. & Syst., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2011
fDate
11-15 April 2011
Firstpage
1
Lastpage
7
Abstract
This paper presents an algorithm that coordinates mobile robots to find the desired targets without depending on precise global information. We compare the abstract solution space in PSO and physical environment that robots will explore. According to similarities and differences between them, we introduce a PSO-inspired search algorithm to guide robots to complete the search mission. Moreover, a novel method based on Cartesian geometry for unifying relative coordinate systems will be adopted to improve system´s robustness and efficiency.
Keywords
mobile robots; multi-robot systems; particle swarm optimisation; search problems; Cartesian geometry; PSO-inspired search algorithm; mobile robot; multirobot search algorithm; relative coordinate system; Force; Manganese; Particle swarm optimization; Robot kinematics; Robot sensing systems; PSO-inspired; multi-robot search; relative coordinate system; repulsion;
fLanguage
English
Publisher
ieee
Conference_Titel
Swarm Intelligence (SIS), 2011 IEEE Symposium on
Conference_Location
Paris
Print_ISBN
978-1-61284-053-6
Type
conf
DOI
10.1109/SIS.2011.5952586
Filename
5952586
Link To Document